Speeding-Up Verification of Digital Signatures Abdul Rahman Taleb, Damien Vergnaud
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On the Efficiency of the Lamport Signature Scheme
Technical Sciences 275 ON THE EFFICIENCY OF THE LAMPORT SIGNATURE SCHEME Daniel ZENTAI Óbuda University, Budapest, Hungary [email protected] ABSTRACT Post-quantum (or quantum-resistant) cryptography refers to a set of cryptographic algorithms that are thought to remain secure even in the world of quantum computers. These algorithms are usually considered to be inefficient because of their big keys, or their running time. However, if quantum computers became a reality, security professionals will not have any other choice, but to use these algorithms. Lamport signature is a hash based one-time digital signature algorithm that is thought to be quantum-resistant. In this paper we will describe some simulation results related to the efficiency of the Lamport signature. KEYWORDS: digital signature, post-quantum cryptography, hash functions 1. Introduction This paper is organized as follows. Although reasonable sized quantum After this introduction, in chapter 2 we computers do not exist yet, post quantum describe some basic concepts and definition cryptography (Bernstein, 2009) became an related to the security of hash functions. important research field recently. Indeed, Also, we describe the Lamport one-time we have to discover the properties of these signature algorithm. In chapter 3 we algorithms before quantum computers expound our simulation results related to become a reality, namely suppose that we the efficiency of the Lamport signature. use the current cryptographic algorithms for The last chapter summarizes our work. x more years, we need y years to change the most widely used algorithms and update 2. Preliminaries our standards, and we need z years to build In this chapter the basic concepts and a quantum-computer. -
Outline One-Time Signatures One-Time Signatures Lamport's
Advanced Security Outline § One-Time Signatures Constructions • Lamport’s signature and Key Management • Improved signature constructions • Merkle-Winternitz Signature § Efficient Authenticators (amortize signature) Class 16 • One-way chains (self-authenticating values) • Chained hashes • Merkle Hash Trees § Applications • Efficient short-lived certificates, S/Key • Untrusted external storage • Stream signatures (Gennaro, Rohatgi) § Zhou & Haas’s key distribution One-Time Signatures One-Time Signatures § Use one -way functions without trapdoor § Challenge: digital signatures expensive § Efficient for signature generation and for generation and verification verification § Caveat: can only use one time § Goal: amortize digital signature § Example: 1-bit one-time signature • P0, P1 are public values (public key) • S0, S1 are private values (private key) S0 P0 S0 S0’ P S1 P1 S1 S1’ Lamport’s One-Time Signature Improved Construction I § Uses 1-bit signature construction to sign multiple bits § Uses 1-bit signature construction to sign multiple bits Sign 0 S0 S0’ S0’’ S0* Private values S0 S0’ S0’’ S0* c0 c0’ c0* P0 P0’ P0’’ P0* … … … Public values P0 P0’ P0’’ P0* p0 p0’ p0* P1 P1’ P1’’ P1* Bit 0 Bit 1 Bit 2 Bit n Bit 0 Bit 1 Bit log(n) Sign 1 S1 S1’ S1’’ S1* Private values Sign message Checksum bits: encode Bit 0 Bit 1 Bit 2 Bit n # of signature bits = 0 1 Improved Construction II Merkle-Winternitz Construction § Intuition: encode sum of checksum chain § Lamport signature has high overhead Signature S0 S1 S2 S3 § Goal: reduce size of public -
A Survey on Post-Quantum Cryptography for Constrained Devices
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 11 (2019) pp. 2608-2615 © Research India Publications. http://www.ripublication.com A Survey on Post-Quantum Cryptography for Constrained Devices Kumar Sekhar Roy and Hemanta Kumar Kalita Abstract Quantum Computer” [1]. Shor’s algorithm can solve integer The rise of Quantum computers in the recent years have given factorization problem as well as discrete logarithm problem a major setback to classical and widely used cryptography used by RSA as well as ECC respectively in polynomial time schemes such as RSA(Rivest-Shamir-Adleman) Algorithm using a sufficiently large Quantum Computer. Thus making the and ECC (Elliptic Curve Cryptography). RSA and ECC use of cryptosystems based on integer factorization problem as depends on integer factorization problem and discrete well as discrete logarithm problem obsolete. This current logarithm problem respectively, which can be easily solved by advances has raised a genuine need for development of Quantum Computers of sufficiently large size running the cryptosystems which could serve as viable replacement for infamous Shor’s Algorithm. Therefore cryptography schemes traditionally used cryptosystems which are vulnerable to which are difficult to solve in both traditional as well as quantum computer based attacks. Since the arrival of IoT, the Quantum Computers need to be evaluated. In our paper we Cyber security scenario has entirely shifted towards security provide a rigorous survey on Post-Quantum Cryptography schemes which are lightweight in terms of computational schemes and emphasize on their applicability to provide complexity, power consumption, memory consumption etc. security in constrained devices. We provide a detailed insight This schemes also need to be secure against all known attacks. -
Anna Lysyanskaya Curriculum Vitae
Anna Lysyanskaya Curriculum Vitae Computer Science Department, Box 1910 Brown University Providence, RI 02912 (401) 863-7605 email: [email protected] http://www.cs.brown.edu/~anna Research Interests Cryptography, privacy, computer security, theory of computation. Education Massachusetts Institute of Technology Cambridge, MA Ph.D. in Computer Science, September 2002 Advisor: Ronald L. Rivest, Viterbi Professor of EECS Thesis title: \Signature Schemes and Applications to Cryptographic Protocol Design" Massachusetts Institute of Technology Cambridge, MA S.M. in Computer Science, June 1999 Smith College Northampton, MA A.B. magna cum laude, Highest Honors, Phi Beta Kappa, May 1997 Appointments Brown University, Providence, RI Fall 2013 - Present Professor of Computer Science Brown University, Providence, RI Fall 2008 - Spring 2013 Associate Professor of Computer Science Brown University, Providence, RI Fall 2002 - Spring 2008 Assistant Professor of Computer Science UCLA, Los Angeles, CA Fall 2006 Visiting Scientist at the Institute for Pure and Applied Mathematics (IPAM) Weizmann Institute, Rehovot, Israel Spring 2006 Visiting Scientist Massachusetts Institute of Technology, Cambridge, MA 1997 { 2002 Graduate student IBM T. J. Watson Research Laboratory, Hawthorne, NY Summer 2001 Summer Researcher IBM Z¨urich Research Laboratory, R¨uschlikon, Switzerland Summers 1999, 2000 Summer Researcher 1 Teaching Brown University, Providence, RI Spring 2008, 2011, 2015, 2017, 2019; Fall 2012 Instructor for \CS 259: Advanced Topics in Cryptography," a seminar course for graduate students. Brown University, Providence, RI Spring 2012 Instructor for \CS 256: Advanced Complexity Theory," a graduate-level complexity theory course. Brown University, Providence, RI Fall 2003,2004,2005,2010,2011 Spring 2007, 2009,2013,2014,2016,2018 Instructor for \CS151: Introduction to Cryptography and Computer Security." Brown University, Providence, RI Fall 2016, 2018 Instructor for \CS 101: Theory of Computation," a core course for CS concentrators. -
Arxiv:2102.09041V3 [Cs.DC] 4 Jun 2021
Reaching Consensus for Asynchronous Distributed Key Generation ITTAI ABRAHAM, VMware Research, Israel PHILIPP JOVANOVIC, University College London, United Kingdom MARY MALLER, Ethereum Foundation, United Kingdom SARAH MEIKLEJOHN, University College London, United Kingdom and Google, United Kingdom GILAD STERN, The Hebrew University in Jerusalem, Israel ALIN TOMESCU, VMware Research, USA < = We give a protocol for Asynchronous Distributed Key Generation (A-DKG) that is optimally resilient (can withstand 5 3 faulty parties), has a constant expected number of rounds, has $˜ (=3) expected communication complexity, and assumes only the existence of a PKI. Prior to our work, the best A-DKG protocols required Ω(=) expected number of rounds, and Ω(=4) expected communication. Our A-DKG protocol relies on several building blocks that are of independent interest. We define and design a Proposal Election (PE) protocol that allows parties to retrospectively agree on a valid proposal after enough proposals have been sent from different parties. With constant probability the elected proposal was proposed by a nonfaulty party. In building our PE protocol, we design a Verifiable Gather protocol which allows parties to communicate which proposals they have and have not seen in a verifiable manner. The final building block to our A-DKG is a Validated Asynchronous Byzantine Agreement (VABA) protocol. We use our PE protocol to construct a VABA protocol that does not require leaders or an asynchronous DKG setup. Our VABA protocol can be used more generally when it is not possible to use threshold signatures. 1 INTRODUCTION In this work we study Decentralized Key Generation in the Asynchronous setting (A-DKG). -
Applications of SKREM-Like Symmetric Key Ciphers
Applications of SKREM-like symmetric key ciphers Mircea-Adrian Digulescu1;2 February 2021 1Individual Researcher, Worldwide 2Formerly: Department of Computer Science, Faculty of Mathematics and Computer Science, University of Bucharest, Romania [email protected], [email protected], [email protected] Abstract In a prior paper we introduced a new symmetric key encryption scheme called Short Key Random Encryption Machine (SKREM), for which we claimed excellent security guarantees. In this paper we present and briey discuss some of its applications outside conventional data encryption. These are Secure Coin Flipping, Cryptographic Hashing, Zero-Leaked-Knowledge Authentication and Autho- rization and a Digital Signature scheme which can be employed on a block-chain. We also briey recap SKREM-like ciphers and the assumptions on which their security are based. The above appli- cations are novel because they do not involve public key cryptography. Furthermore, the security of SKREM-like ciphers is not based on hardness of some algebraic operations, thus not opening them up to specic quantum computing attacks. Keywords: Symmetric Key Encryption, Provable Security, One Time Pad, Zero Knowledge, Cryptographic Commit Protocol, Secure Coin Flipping, Authentication, Authorization, Cryptographic Hash, Digital Signature, Chaos Machine 1 Introduction So far, most encryption schemes able to serve Secure Coin Flipping, Zero-Knowledge Authentication and Digital Signatures, have relied on public key cryptography, which in turn relies on the hardness of prime factorization or some algebraic operation in general. Prime Factorization, in turn, has been shown to be vulnerable to attacks by a quantum computer (see [1]). In [2] we introduced a novel symmetric key encryption scheme, which does not rely on hardness of algebraic operations for its security guarantees. -
Cryptography Abstracts
Cryptography Abstracts Saturday 10:15 – 12:15 Shafi Goldwasser, MIT Anna Lysyanskaya, Brown University Alice Silverberg, University of California, Irvine Nadia Heninger, UCSD Sunday 8:30 – 10:30 Tal Rabin, IBM Research Tal Malkin, Columbia University Allison Bishop Lewko, University of Texas, Austin Yael Tauman-Kalai, Microsoft Research – New England Saturday 10:15 – 12:15 On Probabilistic Proofs Shafi Goldwasser, MIT ABSTRACT Flavors and applications of verifiable random functions Anna Lysyanskaya, Brown University A random Boolean function is a function where for every input x, the value f(x) is truly random. A pseudorandom function is one where, even though f(x) can be deterministically computed from a small random "seed" s, no efficient algorithm can distinguish f from a random function upon querying it on inputs x1,...,xn of its choice. A verifiable random function (VRF) is a pseudorandom function that can be verified. That is to say, a VRF consists of four algorithms: Generate, Evaluate, Prove, Verify. Alice chooses uses Generate to pick her function f, Evaluate to evaluate it and compute y=f(x), Prove in order to compute a proof p(x) that y is indeed f(x). Bob can then use Verify in order to ascertain that it is indeed the case that y=f(x). At the same time, whenever Bob is not given a proof p(x) for a particular x, no efficient algorithm allows him to determine whether y=f(x) or is random. In this talk I will give a survey of verifiable random functions and their constructions and applications. Elliptic Curve Primality Tests for Numbers in Special Forms Alice Silverberg, University of California, Irvine In joint work with Alex Abatzoglou and Angela Wong, we use elliptic curves with complex multiplication to give primality proofs for integers of certain forms, generalizing earlier work of B. -
September 21-23, 2021 Women in Security and Cryptography Workshop
September 21-23, 2021 Women in Security and Cryptography Workshop Our WISC- Speakers Our WISC-Speakers Adrienne Porter Felt, Google BIO. Adrienne is a Director of Engineering at Google, where she leads Chrome’s Data Science, content ecosystem, and iOS teams. Previously, Adrienne founded and led Chrome’s usable security team. She is best known externally for her work on moving the web to HTTPS, earning her recognition as one of MIT Technology Review’s Innovators Under 35. Adrienne holds a PhD from UC Berkeley, and most of her academic publications are on usable security for browsers and mobile operating systems. Copyright: Adrienne Porter Felt Carmela Troncoso, École polytechnique fédérale de Lausanne BIO. Carmela Troncoso is an assistant professor at EPFL, Switzerland, where she heads the SPRING Lab. Her work focuses on analyzing, building, and deploying secure and privacy-preserving systems. Carmela holds a PhD in Engineering from KULeuven. Her thesis, Design and Analysis Methods for Privacy Technologies, received the European Research Consortium for Informatics and Mathematics Security and Trust Management Best PhD Thesis Award, and her work on Privacy Engineering received the CNIL-INRIA Privacy Protection Award in 2017. She has been named 40 under 40 in technology by Fortune in 2020. Copyright: Carmela Troncoso Elette Boyle, IDC Herzliya BIO. Elette Boyle is an Associate Professor, and Director of the FACT (Foundations & Applications of Cryptographic Theory) Research Center, at IDC Herzliya, Israel. She received her PhD from MIT, and served as a postdoctoral researcher at Cornell University and at the Technion Israel. Elette's research focuses on secure multi- party computation, secret sharing, and distributed algorithm design. -
Program of the NIST Workshop on Multi-Party Threshold Schemes MPTS 2020 — Virtual Event (November 4–6, 2020)
MPTS 2020 program (updated November 20, 2020) Program of the NIST Workshop on Multi-Party Threshold Schemes MPTS 2020 — Virtual event (November 4–6, 2020) https://csrc.nist.gov/events/2020/mpts2020 # Hour Speaker(s) Topic (not the title) — 09:15–09:35 — Virtual arrival 1a1 09:35–10:00 Luís Brandão Workshop introduction 1a2 10:00–10:25 Berry Schoenmakers Publicly verifiable secret sharing Talks 1a3 10:25–10:50 Ivan Damgård Active security with honest majority — 10:50–11:05 — Break 1b1 11:05–11:30 Tal Rabin MPC in the YOSO model 1b2 11:30–11:55 Nigel Smart Threshold HashEdDSA (deterministic) Talks 1b3 11:55–12:20 Chelsea Komlo Threshold Schnorr (probabilistic) November 4 — 12:20–12:30 — Break 1c1 12:30–12:36 Yashvanth Kondi Threshold Schnorr (deterministic) 1c2 12:36–12:42 Akira Takahashi PQ Threshold signatures 1c3 12:42–12:48 Jan Willemson PQ Threshold schemes Briefs 1c4 12:48–12:54 Saikrishna Badrinarayanan Threshold bio-authentication — 12:54–13:00+ — Day closing — 09:15–09:35 — Virtual arrival 2a1 09:35–10:00 Yehuda Lindell Diverse multiparty settings 2a2 10:00–10:25 Ran Canetti General principles (composability, ...) Talks 2a3 10:25–10:50 Yuval Ishai Pseudorandom correlation generators — 10:50–11:05 — Break 2b1 11:05–11:30 Emmanuela Orsini & Peter Scholl Oblivious transfer extension 2b2 11:30–11:55 Vladimir Kolesnikov Garbled circuits Talks 2b3 11:55–12:20 Xiao Wang Global scale threshold AES — 12:20–12:30 — Break November 5 2c1 12:30–12:36 Xiao Wang Garbled circuits 2c2 12:36–12:42 Jakob Pagter MPC-based Key-management 2c3 12:42–12:48 -
Further Simplifications in Proactive RSA Signatures
Further Simplifications in Proactive RSA Signatures Stanislaw Jarecki and Nitesh Saxena School of Information and Computer Science, UC Irvine, Irvine, CA 92697, USA {stasio, nitesh}@ics.uci.edu Abstract. We present a new robust proactive (and threshold) RSA sig- nature scheme secure with the optimal threshold of t<n/2 corruptions. The new scheme offers a simpler alternative to the best previously known (static) proactive RSA scheme given by Tal Rabin [36], itself a simpli- fication over the previous schemes given by Frankel et al. [18, 17]. The new scheme is conceptually simple because all the sharing and proac- tive re-sharing of the RSA secret key is done modulo a prime, while the reconstruction of the RSA signature employs an observation that the secret can be recovered from such sharing using a simple equation over the integers. This equation was first observed and utilized by Luo and Lu in a design of a simple and efficient proactive RSA scheme [31] which was not proven secure and which, alas, turned out to be completely in- secure [29] due to the fact that the aforementioned equation leaks some partial information about the shared secret. Interestingly, this partial information leakage can be proven harmless once the polynomial sharing used by [31] is replaced by top-level additive sharing with second-level polynomial sharing for back-up. Apart of conceptual simplicity and of new techniques of independent interests, efficiency-wise the new scheme gives a factor of 2 improvement in speed and share size in the general case, and almost a factor of 4 im- provement for the common RSA public exponents 3, 17, or 65537, over the scheme of [36] as analyzed in [36]. -
LEONID REYZIN Boston University, Department of Computer Science, Boston, MA 02215 (617) 353-3283 [email protected] Updated February 15, 2014
LEONID REYZIN Boston University, Department of Computer Science, Boston, MA 02215 (617) 353-3283 [email protected] http://www.cs.bu.edu/~reyzin Updated February 15, 2014 EDUCATION A. B. Summa cum Laude in Computer Science, Harvard University 1992-1996 Honors Senior Thesis on the relation between PCP and NP: “Verifying Membership in NP-languages, or How to Avoid Reading Long Proofs” Thesis Advisor: Michael O. Rabin M.S. in Computer Science, MIT 1997-1999 M.S. Thesis: “Improving the Exact Security of Digital Signature Schemes” Thesis Advisor: Silvio Micali Ph. D. in Computer Science, MIT 1999-2001 Ph. D. Thesis: “Zero-Knowledge with Public Keys” Thesis Advisor: Silvio Micali POSITIONS HELD Associate Professor, Department of Computer Science, Boston University 2007-present Consultant at Microsoft Corp. 2011 Visiting Scholar, Computer Science and Artificial Intelligence Laboratory, MIT 2008 Assistant Professor, Department of Computer Science, Boston University 2001-2007 Fellow, Institute for Pure and Applied Mathematics (IPAM), UCLA 2006 Consultant at CoreStreet, Ltd. (part-time) 2001-2009 Consultant at Peppercoin, Inc. (part-time) 2004 Consultant at RSA Laboratories (part-time) 1998-2000 Research Staff at RSA Laboratories 1996-1997 PUBLICATIONS Note: most are available from http://www.cs.bu.edu/fac/reyzin/research.html Refereed Journal Articles “Improving the Exact Security of Digital Signature Schemes,” by S. Micali and L. Reyzin, appears in Journal of Cryptology, 15(1), pp. 1-18, 2002. Conference versions in SCN 99 and CQRE ’99. “Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data,” by Y. Dodis, R. Ostrovsky, L. Reyzin and A. -
Verifiable Random Functions
Verifiable Random Functions y z Silvio Micali Michael Rabin Salil Vadhan Abstract random string of the proper length. The possibility thus ex- ists that, if it so suits him, the party knowing the seed s may We efficiently combine unpredictability and verifiability by declare that the value of his pseudorandom oracle at some x f x extending the Goldreich–Goldwasser–Micali construction point is other than s without fear of being detected. It f s of pseudorandom functions s from a secret seed , so that is for this reason that we refer to these objects as “pseudo- s f knowledge of not only enables one to evaluate s at any random oracles” rather than using the standard terminology f x x NP point , but also to provide an -proof that the value “pseudorandom functions” — the values s come “out f x s is indeed correct without compromising the unpre- of the blue,” as if from an oracle, and the receiver must sim- s f dictability of s at any other point for which no such a proof ply trust that they are computed correctly from the seed . was provided. Therefore, though quite large, the applicability of pseu- dorandom oracles is limited: for instance, to settings in which (1) the “seed owner”, and thus the one evaluating 1Introduction the pseudorandom oracle, is totally trusted; or (2) it is to the seed-owner’s advantage to evaluate his pseudorandom oracle correctly; or (3) there is absolutely nothing for the PSEUDORANDOM ORACLES. Goldreich, Goldwasser, and seed-owner to gain from being dishonest. Micali [GGM86] show how to simulate a random ora- f x One efficient way of enabling anyone to verify that s b cle from a-bit strings to -bit strings by means of a con- f x really is the value of pseudorandom oracle s at point struction using a seed, that is, a secret and short random clearly consists of publicizing the seed s.However,this string.